Artificial Intelligence (AI) In Drug Discovery Market Insights: In-Depth Look at Growth Trends, Market Size, and Opportunities for 2025-2034
2025 Market Reports Update: Market Size Forecasts to 2034, Key Trends, Leading Players, and Top Regions – Get Ahead of the Competition Today!
What Are the Primary Drivers Supporting the Market Growth of theArtificial Intelligence (AI) In Drug Discovery Market?
The surge in the need for personalized medicine is poised to fuel the expansion of artificial intelligence (AI) within the drug discovery market in the future. Personalized medicine classifies as a kind of medication that uses a person’s genetic or protein knowledge to prevent, diagnose or treat diseases. AI holds a pivotal part in the creation of personalized medicines through all pertinent stages of clinical growth and deployment of new customized health goods by determining suitable intervention points and examining their usefulness. For example, in February 2024, it was reported by the Personalized Medicine Coalition, an American professional membership organization, that in 2022, 12 personalized medicines were given the green light by the US Food and Drug Administration (FDA), making up roughly 34% of all newly authorized therapeutic molecular entities. Consequently, the rising need for personalized medicine is propelling the growth of artificial intelligence (AI) in the drug discovery market.
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#What Are the Key Projections for the CAGR of the Artificial Intelligence (AI) In Drug Discovery Market From 2025 to 2034?
In recent times, there has been an exponential surge in the market size of artificial intelligence (AI) used in drug discovery. The market that was worth $1.78 billion in 2024 is expected to expand to $2.34 billion in 2025, reflecting a compound annual growth rate (CAGR) of 31.1%. This substantial growth during the historic period is a result of several factors including the emergence of new markets, rising occurrence of chronic illnesses, the growing preference for AI in achieving cost-effective drug discovery, and increased rigorous quality protocols for drug makers.
In the upcoming years, the market size of artificial intelligence (AI) in drug discovery is predicted to expand greatly. By 2029, it’s projected to reach $5.98 billion, with a compound annual growth rate (CAGR) of 26.5%. Several factors such as government backing, a surge in healthcare spending and growing use of cloud-based applications and services are attributed to the growth in this forecast period. Key trends within this period include the amalgamation of multi-omics data, implementing AI in target selection and drug screening, the establishment of AI innovation laboratories, and heightened investment in alliances and cooperations.
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What Are the Latest Innovations Influencing theArtificial Intelligence (AI) In Drug Discovery Market?
Prominent organizations in the AI drug delivery market are strategically collaborating to aid in drug research and discovery through AI, which is garnering considerable attention in the AI in drug discovery market. For instance, Atomwise, an American company specializing in artificial intelligence systems, joined forces with Sanofi in August 2022. The goal of this alliance was to identify and examine up to five pharmacological targets using Atomwise’s AI-driven AtomNet technology. Atomwise was awarded a $20 million initial payment from Sanofi to discover, develop, and further the exploration of lead compounds for up to five exclusive Sanofi targets. Sanofi is a healthcare and pharmaceutical company based in France.
Who Are the Major Industry Players Accelerating Growth in theArtificial Intelligence (AI) In Drug Discovery Market?
Major companies operating in the artificial intelligence (AI) in drug discovery market include IBM Corporation, Microsoft Corporation, NVIDIA Corporation, Exscientia, Alphabet, Insilico Medicine, Owkin Inc, Xtalpi Inc, Cloud Pharmaceuticals, Shanghai PharmaceuticS, Standigm, Indegene, Intuition Systems, Innoplexus, Takeda Pharmaceutical Company Ltd., RxPrism, Otsuka Pharmaceutical Co. Ltd., China National Pharmaceutical Group Co., Ltd., Jiangsu Hengrui Medicine Co., Ltd, Cipla Limited, Aurobindo Pharma Limited, Dr. Reddy’s Laboratories Ltd., Sun Pharma, Tricog Health Services Pvt. Ltd., Alliance Pharm Pte Ltd., CytoReason, IIPharma, StoneWise, Adagene, GT Apeiron Therapeutics, Xbiome, Accutar Biotech, DeepMind, Renalytix AI, Iktos, Ipsen Pharma, Galderma S.A., BenevolentAI, Deepflare, Novartis, Gero, Ardigen, Botkin, Care Mentor AI, Diagnocat, GNS Healthcare, Merck & Co., Apotex, Pfizer, Gilead Sciences, Roche, Bayer, AbbVie Inc., GlaxoSmithKline, AstraZeneca, Amgen, Sanofi Pasteur, Abbott Laboratories, Teva Canada, Accord Healthcare Inc, Acerus Pharmaceuticals Corporation, AA Pharma Inc, Sanfer, Siegfried Rhein, Atomwise, Inc., Bioage, NuMedii, Envisagenics, Aria Pharmaceuticals, Verge Genomics, Berg LLC, Deep Genomics, Cyclica, IQVIA, Quris, GE Healthcare, Avanade, Group42 Holding Ltd, Ilara Health, Adcock Ingram, Johnson & Johnson, Eurolab, Ranbaxy (SA) (Pty) Ltd, Aspen, Rology, hearX Group, DilenyTech
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Which Primary Segments of the Artificial Intelligence (AI) In Drug Discovery Market Are Driving Growth and Industry Transformations?
The artificial intelligence (AI) in drug discovery market covered in this report is segmented –
1) By Technology: Context-Aware Processing, Natural Language Processing, Querying Method, Deep Learning
2) By Drug Type: Small Molecules, Large Molecules
3) By Therapeutic Type: Metabolic Disease, Cardiovascular Disease, Oncology, Neurodegenerative Diseases, Anti-Infective Diseases, Respiratory Diseases, Other Therapeutics
4) By End User: Pharmaceutical Companies, Biopharmaceutical Companies, Academic And Research Institutes, Other End-Users
Subsegments:
1) By Context-Aware Processing: Contextual Data Integration, Predictive Modeling, Adaptive Learning Systems
2) By Natural Language Processing (NLP): Text Mining And Analysis, Sentiment Analysis, Drug Interaction Extraction, Clinical Trial Data Analysis
3) By Querying Method: Semantic Search, Knowledge Graphs, Structured Query Language (SQL) Based Queries
4) By Deep Learning: Neural Networks, Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs), Reinforcement Learning Applications
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Which Regions Are Key Players in the Growth of the #What Are the Primary Drivers Supporting the Market Growth of theArtificial Intelligence (AI) In Drug Discovery Market?# Market?
North America was the largest region in the artificial intelligence (AI) in drug discovery market in 2024. Western Europe was the second largest region in the global artificial intelligence (AI) in drug discovery market share. The regions covered in the artificial intelligence (AI) in drug discovery market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East, Africa
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